Triple
T8483781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dine Alone Records |
E200783
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Joel Carriere
Joel Carriere is a Canadian music industry executive and entrepreneur best known as the founder of the independent record label Dine Alone Records.
|
E736252
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Joel Carriere | Statement: [Dine Alone Records, foundedBy, Joel Carriere]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joel Carriere Context triple: [Dine Alone Records, foundedBy, Joel Carriere]
-
A.
Joel O’Brien
Joel O’Brien is a musician known for his work featured on the album "Tapestry."
-
B.
Joel McNeely
Joel McNeely is an American composer and conductor best known for his work on film and television scores, including numerous projects for Disney and other major studios.
-
C.
Jon Callas
Jon Callas is a cryptographer and security expert known for co-founding PGP Corporation and developing secure communication technologies.
-
D.
Michael Krieger
Michael Krieger is a fictional character appearing in the story of "Watch Over Me."
-
E.
Lou Jacobi
Lou Jacobi was a Canadian-born character actor known for his comedic roles in film, television, and theater, particularly in mid-20th-century Hollywood and Broadway productions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Joel Carriere Triple: [Dine Alone Records, foundedBy, Joel Carriere]
Generated description
Joel Carriere is a Canadian music industry executive and entrepreneur best known as the founder of the independent record label Dine Alone Records.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joel Carriere Target entity description: Joel Carriere is a Canadian music industry executive and entrepreneur best known as the founder of the independent record label Dine Alone Records.
-
A.
Joel O’Brien
Joel O’Brien is a musician known for his work featured on the album "Tapestry."
-
B.
Joel McNeely
Joel McNeely is an American composer and conductor best known for his work on film and television scores, including numerous projects for Disney and other major studios.
-
C.
Jon Callas
Jon Callas is a cryptographer and security expert known for co-founding PGP Corporation and developing secure communication technologies.
-
D.
Michael Krieger
Michael Krieger is a fictional character appearing in the story of "Watch Over Me."
-
E.
Lou Jacobi
Lou Jacobi was a Canadian-born character actor known for his comedic roles in film, television, and theater, particularly in mid-20th-century Hollywood and Broadway productions.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca831d7b148190a6e32c1de43ab13b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe53845e881909eeb32863c7aa942 |
completed | March 31, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce3a348a8481908a72c7ac15605022 |
completed | April 2, 2026, 9:43 a.m. |
| NEDg | Description generation | batch_69ce3b56c3d881909468c3304e84cdb8 |
completed | April 2, 2026, 9:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce3c2579a08190af15d40d4bf7bb9f |
completed | April 2, 2026, 9:51 a.m. |
Created at: March 30, 2026, 6:12 p.m.